Large Shareholder Entrenchment and Performance: Empirical Evidence from Canada
Bibliographic record
Abstract
Abstract: Recent empirical evidence indicates that the largest publicly traded companies throughout the world have concentrated ownership. This is the case in Canada where voting rights are often concentrated in the hands of large shareholders, mostly wealthy families. Such concentrated ownership structures can generate specific agency problems, such as large shareholders expropriating wealth from minority shareholders. These costs are aggravated when large shareholders don't bear the full costs of their decisions because of the presence of mechanisms (dual class voting shares, pyramids) which lead to voting rights being greater than the cash flow rights (separation). We assess the impact of separation on various performance metrics while controlling for situations when the large shareholder has (1) the opportunity to expropriate (high free cash flows in the firm) and (2) the incentive to expropriate (low cash flow rights). We also control for when the large shareholder has the power to expropriate (high voting rights, outright control and insider management) and for the presence of family ownership. The results support our hypotheses and indicate that firm performance is lower when large shareholders have both the incentives and the opportunity to expropriate minority shareholders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".